Extended Data Fig. 5: A grid search was performed on the SoLi dataset and SHD for the h and s parameters of the multi-Gaussian surrogate gradient.
From: Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks
In the grid search, we calculated the performance of each pair of parameters by averaging the test accuracy and firing rate over tri-folder cross-validation. The white dashed line delineates the upper left region for models with high accuracy ( > 0.91) in (a) and high firing rate ( > 0.09) in (b). The red lines in (c) approximately delineate regions with accuracy above and below 0.87, and the white curve in (d) approximately demarcates models with an average firing rate above or below 0.1.
